Background: The performance of endoscopic surgery has quickly become widespread as a minimally invasive therapy. However, complications still occur due to technical difficulties. In the present study, we focused on the problem of blind spots, which is one of the several problems that occur during endoscopic surgery and developed "BirdView," a camera system with a wide field of view, with SHARP Corporation.
Methods: In the present study, we conducted a clinical trial (Phase I) to confirm the safety and usefulness of the BirdView camera system. We herein report the results.
Results: In this study, surgical adverse events were reported in 2 cases (problems with ileus and urination). There were no cases of device failure, damage to the surrounding organs, or mortality.
Conclusions: We evaluated the safety of the BirdView camera system. We believe that this camera system will contribute to the performance safe endoscopic surgery and the execution of robotic surgery, in which operators do not have the benefit of tactile feedback.
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http://dx.doi.org/10.1007/s00464-018-6293-y | DOI Listing |
Front Robot AI
January 2025
Department of Materials and Production, Aalborg University, Aalborg, Denmark.
Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. Many state-of-the-art methods for 6D pose estimation depend on deep neural networks, which are computationally demanding and require GPUs for real-time performance.
View Article and Find Full Text PDFJ Am Mosq Control Assoc
January 2025
Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, 30602.
Accurate enumeration of mosquito eggs is crucial for various entomologic studies, including investigations into mosquito fecundity, life history traits, and vector control strategies. Traditional manual counting methods are labor intensive and prone to human error, highlighting the need for automated systems. This study presents a stand-alone automated mosquito egg counting system using a Raspberry Pi computer, high-quality camera, light-emitting diode ring light source, and a Python script leveraging the Open Source Computer Vision library.
View Article and Find Full Text PDFSci Rep
January 2025
Computer and Information Engineering College, Inner Mongolia Agricultural University, Hohhot, 010000, China.
This paper proposes a method for fast and accurate vehicle speed measurement based on a monocular camera. Firstly, by establishing a new camera imaging model, the calibration method for variable focal lengths is optimized, simplifying the transformation process between the four coordinate systems in traditional camera imaging models, and the method does not need to restore the pixel coordinates to dedistortion. Secondly, based on the camera imaging model, a two-dimensional positioning algorithm is proposed.
View Article and Find Full Text PDFNat Commun
January 2025
Key Lab of Fabrication Technologies for Integrated Circuits Institute of Microelectronics, Chinese Academy of Sciences, 100029, Beijing, China.
Visual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. However, their data are heterogeneous, causing complexity in system development. Moreover, conventional digital hardware is constrained by von Neumann bottleneck and the physical limit of transistor scaling.
View Article and Find Full Text PDFBiol Pharm Bull
January 2025
Education Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Hokkaido University, Kita 12, Nishi 6, Kita-ku, Sapporo 060-0812, Japan.
We have previously used the Roter Interaction Analysis System (RIAS) to analyze differences between online and face-to-face medication counseling. In our previous research, students have commented that the built-in camera on their laptops makes it difficult to make eye contact and communicate effectively. Furthermore, there is a lack of research on the impact of eye contact in online medical communication.
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